class_docstr: Benchmarks both quantization and dequantization.
code: def forward(self, input, scales, zero_points, axis: int, dtype: int):
      return self.op(
          input,
          scales=scales,
          zero_points=zero_points,
          axis=axis,
          dtype=dtype,
      )
  
imports: import torch
  import torch.ao.nn.quantized
  import torch.ao.quantization
  import torch.nn
  import operator_benchmark
label_desc: Use image node_id 2 for calling the QuantizePerChannelBenchmark obj's underlying member method code with example usage: obj.forward(input, scales, zero_points, axis, dtype) and returns: self